---
title: Observability for OpenRouter with Opik
description: Start here to integrate Opik into your OpenRouter-based genai application for end-to-end LLM observability, unit testing, and optimization.
---

This guide explains how to integrate Opik with OpenRouter using the OpenAI SDK. OpenRouter provides a unified API for accessing hundreds of AI models through a single OpenAI-compatible interface.

## Getting started

First, ensure you have both `opik` and `openai` packages installed:

```bash
pip install opik openai
```

You'll also need an OpenRouter API key which you can get from [OpenRouter](https://openrouter.ai/).

## Tracking OpenRouter API calls

```python
from opik.integrations.openai import track_openai
from openai import OpenAI

# Initialize the OpenAI client with OpenRouter base URL
client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="YOUR_OPENROUTER_API_KEY"
)
client = track_openai(client)

# Optional headers for OpenRouter leaderboard
headers = {
    "HTTP-Referer": "YOUR_SITE_URL",  # Optional. Site URL for rankings
    "X-Title": "YOUR_SITE_NAME"  # Optional. Site title for rankings
}

response = client.chat.completions.create(
    model="openai/gpt-4",  # You can use any model available on OpenRouter
    extra_headers=headers,
    messages=[
        {"role": "user", "content": "Hello, world!"}
    ],
    temperature=0.7,
    max_tokens=100
)

print(response.choices[0].message.content)
```

## Available Models

OpenRouter provides access to a wide variety of models, including many open source models from different providers.

- [OpenAI models](https://openrouter.ai/openai) (GPT-4o, o1, o3-mini)
- [Anthropic models](https://openrouter.ai/anthropic) (Opus, Sonnet, Haiku)
- [Google models](https://openrouter.ai/google) (Gemini Pro, Flash, Flash Thinking)
- And many open source models

You can find the complete list of available models in the [OpenRouter documentation](https://openrouter.ai/models).

## Supported Methods

OpenRouter supports the following methods:

### Chat Completions

- `client.chat.completions.create()`: Works with all models
- Provides standard chat completion functionality
- Compatible with the OpenAI SDK interface

### Structured Outputs

- `client.beta.chat.completions.parse()`: Only compatible with OpenAI models
- For non-OpenAI models, see OpenRouter's [Structured Outputs documentation](https://openrouter.ai/docs/features/structured-outputs)

For detailed information about available methods, parameters, and best practices, refer to the [OpenRouter API documentation](https://openrouter.ai/docs).
